IEEE

Robust Control of Uncertain Quantum Systems Based on Physics-Informed Neural Networks and Sampling Learning

Abstract: High-fidelity quantum control is one of the key elements in quantum computing and information processing. In view of possible inaccuracies in quantum system modeling and inevitable errors in ...
GitHub

In this notebook, you'll see an introduction to PINN, and Diffusion Equation, this was a part of my Deep Learning Project @ University of Trieste

The objective of this notebook is to introduce you to an application of PINNs to a square plate that heats. Analysis and visualization of the diffusion equation on a square plate. Implementation of a ...
GitHub

A pytorch implementation of several approaches using PINN to slove turbulent flow

So far, there are three promising approaches to solve turbulent flow using physics informed neural network(see reference1-3), including using NS equation, RANS euqation with turbulent eddy viscosity, ...
IEEE

An HC and Deep MIM Enhanced PINN SciML Algorithm for the Transient Thermal Analysis of 3-D Packages of Integrated Circuits

Abstract: In this work, a physics-informed neural network (PINN) scientific machine learning (SciML) algorithm combined with the hard constraint (HC) and the deep mixed residual method (MIM) is ...
Barron's

Pinnacle Financial Partners Inc.

About Pinnacle Financial Partners Inc. Pinnacle Financial Partners Inc. engages in the provision of financial solutions. It offers a comprehensive range of banking, investment, trust, mortgage, and ...